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Data Science Entry Level Remote Jobs in Virginia

Shift5

Data Engineer

Arlington, VA · Remote

$130K - $170K/yr

Partner with data scientists and engineers to create semantic data models representing complex ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

If cutting edge data science projects resonate with you, and you care deeply about joining a ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

Axiologic Solutions LLC

AGS Scientist

Springfield, VA · On-site +1

Participate in data analysis TEMs along with NRFDS and/or Radiance contractors and NGA scientists ... M.S. degree in physics, engineering, or remote-sensing, or equivalent work experience. Experience ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are the most commonly searched types of Data Science Remote jobs in Virginia? The most popular types of Data Science Remote jobs in Virginia are:
What are popular job titles related to Data Science Entry Level Remote jobs in Virginia? For Data Science Entry Level Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Virginia look for? The top searched job categories for Data Science Entry Level Remote jobs in Virginia are:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Data Engineer

Data Engineer

Shift5

Arlington, VA • Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 19 days ago

Key responsibilities

  • Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.

  • Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.

  • Partner with data scientists and engineers to create semantic data models representing complex vehicular systems and integrate applications across other componentry.

Job description

About Shift5

Shift5 is building the data platform for onboard operational technology (OT). We deliver cybersecurity, predictive maintenance, and compliance capabilities that enable defense and commercial fleets to operate with greater readiness, resilience, and mission assurance.

We are seeking a Data Engineer to join our growing Product Engineering team. In this role, your primary responsibility will be to design, build, and maintain data processing, storage, and integration pipelines. You will report to our Off Vehicle Manager, Software Engineering, and operate in a team-based environment with engineers, product managers, program managers, and designers to conceive, implement, and shape major features. You'll be a major factor in generating high-impact products that literally save lives.

What You'll Do
  • Design & Build Pipelines: Design, build, and maintain robust, scalable batch and streaming data processing, storage, and integration pipelines.
  • Feature Ownership: Interpret requirements and design specifications, taking full ownership of building features from the ground up.
  • Write Quality Code: Write clean, well-documented, scalable, extensible, and testable code to ensure application quality and maintainability.
  • Cross-Functional Collaboration: Partner with data scientists and engineers to create semantic data models representing complex vehicular systems, and integrate applications cleanly across other Shift5 componentry.
  • Support Stakeholders: Build scalable data products for data scientists, transportation engineers, and executives to drive insights and decision-making.
  • Cloud Optimization: Create efficient, reliable, cost-effective, dynamically scalable, and observable solutions utilizing AWS cloud services.
  • Data Analysis & Quality: Analyze complex data sets to create data ontologies, verify data quality/integrity, and ensure data accuracy throughout pipelines.
  • Field Support: Support the design process and occasionally travel to customer sites (estimated a few times per year) to collaborate with Field Engineers on data integration and deployment.
What Success Looks Like
  • High-Impact Delivery: You successfully deliver scalable, observable, supportable, and reliable data processing applications that empower customers to run smarter, safer fleets.
  • End-to-End Ownership: You confidently steer features from initial requirements gathering and design through planning and implementation in a fast-paced environment.
  • Collaborative Impact: You actively shape product design alongside multidisciplinary teams, contributing directly to a culture of high performance and mission readiness.
  • Adaptability: You efficiently multitask and smoothly accommodate changing priorities on demand to meet the dynamic needs of a scaling company.
What We're Looking For
  • Engineering Experience: 2+ years of software/data engineering experience with a deep understanding of software engineering practices and concepts.
  • Core Languages: 2+ years of experience with a major programming language (GoLang, Java, or Python).
  • Databases & Big Data: 2+ years of relational database experience (PostgreSQL, MySQL, Oracle, etc.) alongside 2+ years of experience with Big Data (Hadoop, Spark) and Data Modeling.
  • Cloud & Containers: 2+ years of experience with containerization and cloud services (Docker, Kubernetes) and cloud monitoring tools.
  • Data Pipelines: Expertise with batch and streaming data pipelines using technologies such as Apache Airflow or Benthos.
  • Modern Data Stack: Familiarity with modern data stack components including data ingestion, transformation, and orchestration.
  • U.S. citizenship required and ability to obtain a security clearance.
  • Data Architecture: Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift).
  • DevOps Practices: Proficiency with CI/CD, source control, design reviews, and integrating observable practices.
  • Travel Flexibility: Willingness to travel occasionally to customer and partner sites to support field integration and deployment efforts.
Compensation & Benefits
  • Base Salary: $130,000 - 170,000
  • Bonus program and equity in a fast-growing startup
  • Competitive salary and stock options in a fast-growing startup
  • Employer-paid medical, dental and vision coverage
  • Health Savings Account with annual employer contributions
  • Life Insurance
  • Uncapped paid time off policy
  • Flexible work & remote work policy
  • Tax-deferred public transit benefits with Metro SmartBenefits (DC/MD/VA)
Equal Opportunity Employer

Shift5 is committed to equal employment opportunity and affirmative action. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Shift5 is an Equal Opportunity Employer.

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